Sensitivity of system reliability to usage profile changes
(2005)- Abstract
- Usage profiles and component reliability are two important factors in software system reliability estimation. To assess the sensitivity of a system’s reliability to the usage profile and to the reliability of its components, a Markov based system model is used. With the help of this model, the maximum sensitivity to one change or the statistical sensitivity to many independent changes can be estimated. Advantages
and limitations to this approach are discussed and finally the theory is applied to an example to show its validity
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/701478
- author
- Weyns, Kim LU and Runeson, Per LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings 5th Conference on Software Engineering Research and Practice in Sweden
- project
- FRIVA
- language
- English
- LU publication?
- yes
- id
- aa50b2f8-1c7e-47a9-8068-2d5daac74685 (old id 701478)
- date added to LUP
- 2016-04-04 12:57:59
- date last changed
- 2021-04-29 09:44:25
@inproceedings{aa50b2f8-1c7e-47a9-8068-2d5daac74685, abstract = {{Usage profiles and component reliability are two important factors in software system reliability estimation. To assess the sensitivity of a system’s reliability to the usage profile and to the reliability of its components, a Markov based system model is used. With the help of this model, the maximum sensitivity to one change or the statistical sensitivity to many independent changes can be estimated. Advantages <br/><br> and limitations to this approach are discussed and finally the theory is applied to an example to show its validity}}, author = {{Weyns, Kim and Runeson, Per}}, booktitle = {{Proceedings 5th Conference on Software Engineering Research and Practice in Sweden}}, language = {{eng}}, title = {{Sensitivity of system reliability to usage profile changes}}, year = {{2005}}, }